Co-operative SWIPT system over FTR fading channel in mobile network scenario

• Published in: Journal of ambient intelligence and humanized computing 2023-08, Vol.14 (8), p.11139-11152
• Main Authors: Singh, Shweta, Mitra, Debjani, Baghel, R. K.
• Format: Article
• Language: English
• Subjects: Artificial Intelligence; Channels; Communications systems; Computational Intelligence; Distribution functions; Efficiency; Energy harvesting; Engineering; Fading; Gamma function; Investigations; Millimeter waves; Network topologies; Original Research; Power transfer; Probability density functions; Propagation; Protocol; Random variables; Relaying; Robotics and Automation; Signal to noise ratio; Topology; Two dimensional analysis; Unmanned aerial vehicles; User Interfaces and Human Computer Interaction; Wireless networks
• ISSN: 1868-5137; 1868-5145
• DOI: 10.1007/s12652-022-04394-8

Energy harvesting (EH) by power constrained nodes in simultaneous wireless information and power transfer (SWIPT) system have recently attracted a considerable research interest. However, most of the researches have investigated SWIPT in static scenario over the conventional fading channels. Analyzing SWIPT over a channel that is suitable for mmWave communications forms the key to the success of 5G and beyond technologies. Concerning to another major challenge for high-frequency communication is the high amount of fading losses leading to reduced cell size. In such, small cell scenario the impact of node mobility becomes significant and hence needs to be accounted for accurate analysis. Thus, in this paper we analyzed the cooperative SWIPT system over fluctuating two ray (FTR) fading channels that can accurately characterize fluctuations at GHz range. Additionally, we have integrated the random waypoint (RWP) mobility model to characterize the random mobility pattern of both user and relay node. We have introduced a RV parameter to quantify the impact of variable terms influenced by mobility like link distance, signal to noise ratio (SNR) and path-loss exponent. We derived the cumulative distribution function and probability density function in the form of easy tractable gamma function. Further, we derived the ergodic outage probability (EOP) for the SWIPT system for decode-and-forward (DF) and amplify-and-forward (AF) relaying protocols considering 1D, 2D and 3D topologies. The analytical results are compared with Monte–Carlo simulations to validate the analysis.